Interval observers for uncertain biological systems
By Jean-Luc Gouzé, Alain Rapaport, M. Hadj-Sadok. 2000
706 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/beeeddc157ec1247535041fb2ba9c9f17ac7cb20
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Olivier Bernard
- Tarek Raïssi
- Denis V. Efimov
- Ali Zolghadri
- Éric Walter
- Michel Kieffer
- Frédéric Mazenc
- Stanislav Chebotarev
In Molecular Biology
- Éric Walter
- Michel Kieffer
- Tarek Raïssi
- Olivier Bernard
- Denis V. Efimov
- Ali Zolghadri
- Frédéric Mazenc
- Stanislav Chebotarev
Citations in the corpus
- Interval state observer for nonlinear time varying systems (2013, background): “Another group of applications deals directly with evaluation of the set of admissible values for the state of an uncertain system (it can be the estimation goal in some fault detection systems, in biology or chemistry), the interval observers were proposed as a solution of this problem [6].”
- Functional interval observer for the linear systems with disturbances (2018, background): “After first introduced by Gouze in [21] and applied widely to biological systems [21–23], the interval observer attracts the considerable interest of researchers in the control theory.”
- Parallelotopic and practical observers for non-linear uncertain systems (2003, methodology): “Given guaranteed intervals on uncertainties on the components of f , we compute guaranteed intervals for the variables in some coordinates; we thus build what we have called interval observers (Gouzé et al. 2000).”
- Guaranteed estimation of the parameters of nonlinear continuous‐time models: Contributions of interval analysis (2011, positive): “These results were inspired by the interval observer proposed in [7].”
- Interval observers for linear time-invariant systems with disturbances (2011, methodology): “Interval observers, appeared in the last decade as an alternative technique for robust state estimation [Gouzé et al., 2000], [Rapport et al., 2003].”
- Bounded error moving horizon state estimator for non-linear continuous-time systems: application to a bioprocess system (2005, background): “Interval observers for a limited class of nonlinear systems have also been proposed in [11].”
- Interval State Estimation for a Class of Nonlinear Systems (2012, methodology): “The matrix A 0 LC is not Metzler for any L.”